Previous works on explaining DNN-based object detectors include their feature space visualization [1]}, analyzing the biases, such as pedestrians' skin color [2]}.
Two recent works have explored explainability using saliency for SSD object detectors [3]}, [4]}. These methods rely on tailored white-box approaches in comparison to D-RISE, which treats detectors as black boxes.
